Optimizing squeezing in a coherent quantum feedback network of optical parametric oscillators
Constantin Brif, Mohan Sarovar, Daniel B. S. Soh, David R. Farley,, Scott E. Bisson

TL;DR
This paper demonstrates how a network of two coupled optical parametric oscillators, optimized using global algorithms, can significantly enhance and tailor the squeezing spectrum of output light compared to a single OPO, with robustness to phase variations.
Contribution
It introduces an optimization framework for CQFC networks of coupled OPOs to maximize squeezing performance across spectral ranges, outperforming single OPO systems.
Findings
Optimized CQFC network achieves higher squeezing than single OPO.
Global search algorithms are essential for optimal performance.
The squeezing performance is robust to small phase variations.
Abstract
Advances in the emerging field of coherent quantum feedback control (CQFC) have led to the development of new capabilities in the areas of quantum control and quantum engineering, with a particular impact on the theory and applications of quantum optical networks. We consider a CQFC network consisting of two coupled optical parametric oscillators (OPOs) and study the squeezing spectrum of its output field. The performance of this network as a squeezed-light source with desired spectral characteristics is optimized by searching over the space of model parameters with experimentally motivated bounds. We use the QNET package to model the network's dynamics and the PyGMO package of global optimization algorithms to maximize the degree of squeezing at a selected sideband frequency or the average degree of squeezing over a selected bandwidth. The use of global search methods is critical for…
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Taxonomy
TopicsQuantum Information and Cryptography · Photonic and Optical Devices · Advanced Fiber Laser Technologies
